aneeznazara-coder

aneeznazara-coder / Aneez-Nazar

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A role-based clinic queue and appointment booking application

50
0
100% credibility
Found Feb 05, 2026 at 45 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A demo web application simulating an AI-powered virtual clinic with real-time audio consultations, automatic prescription generation from transcripts, editable prescriptions, and mock payment processing.

How It Works

1
🏥 Discover the Virtual Clinic App

You find this handy app that lets doctors simulate AI-powered patient consultations right on their computer.

2
💻 Prepare the App

Follow a few simple steps to get the app running locally, connecting it to a smart AI service for real conversations.

3
👥 View the Patient Queue

See a list of waiting patients with their appointment times and reasons for visiting.

4
🎤 Start Live Consultation

Click to begin listening and speaking with the patient, watching the entire conversation appear in real-time text on screen.

5
📝 Generate Prescription

Once the talk is done, automatically create a draft prescription based on what was discussed.

6
✏️ Review and Edit

Check the medications, instructions, and follow-up details, making any needed changes.

7
💳 Handle Payment

Simulate collecting the consultation fee through a secure-looking checkout process.

✅ Complete the Visit

Finalize everything, mark the appointment as done, and feel great about the smooth, modern consultation experience.

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Star Growth

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AI-Generated Review

What is Aneez-Nazar?

Aneez-Nazar is a TypeScript React app for managing clinic queues and appointment bookings with role-based access control for patients and doctors. It handles waiting lists, live audio consultations transcribed in real-time via Google Gemini AI, automatic prescription generation from transcripts, editable prescriptions, and simulated payments. Developers get a ready-to-run demo of a full clinic workflow by setting a Gemini API key and running npm install followed by npm run dev.

Why is it gaining traction?

This role-based authentication GitHub project stands out with seamless AI integration for medical transcription and prescription JSON output, skipping manual note-taking in consultations. Unlike basic role-based access control React GitHub repos, it simulates end-to-end clinic flows like queue tokens, doctor availability, and secure checkouts in a single frontend package. The live audio processing and multi-language support hook devs prototyping health apps without backend hassle.

Who should use this?

Frontend devs building role-based clinic applications or appointment booking systems needing quick AI prototypes. Healthtech startups evaluating role-based access control in TypeScript for patient-doctor workflows. Educators demoing Gemini in React for real-time transcription in medical queue management.

Verdict

Fun AI-powered clinic demo with solid role-based features, but at 49 stars and 1.0% credibility score, it's an early prototype lacking tests, backend persistence, or production docs—fork and extend it for real use. Worth a spin for inspiration on role-based TypeScript apps.

(198 words)

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